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نمایش تعداد 1-10 از 10

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

Skill improvement from increased ensemble size and model diversity

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

A fast nonparametric spatio temporal regression scheme for generalized Pareto distributed heavy precipitation

نوع: Journal Paper

نویسنده : Naveau, P. - Toreti, A. - Smith, I. - Xoplaki, E.

ناشر: American Geophysical Union

سال: 2014

Modeling maximum daily temperature using a varying coefficient regression model

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

Parameterization of training images for aquifer 3 D facies modeling integrating geological interpretations and statistical inference

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

Data driven approach to identify field scale biogeochemical transitions using geochemical and geophysical data and hidden Markov models: Development and application at a uranium contaminated aquifer

نوع: Journal Paper

نویسنده : Chen, Jinsong; Hubbard, Susan S.; Williams, Kenneth H.

ناشر: American Geophysical Union

سال: 2013

Approximate Bayesian Computation using Markov Chain Monte Carlo simulation: DREAM(ABC)

نوع: Journal Paper

نویسنده : Sadegh, Mojtaba - Vrugt, Jasper A.

ناشر: American Geophysical Union

سال: 2014

A novel data assimilation methodology for predicting lithology based on sequence labeling algorithms

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

Does the mid Atlantic United States sea level acceleration hot spot reflect ocean dynamic variability?

نوع: Journal Paper

ناشر: Wiley

سال: 2013

Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

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Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

Skill improvement from increased ensemble size and model diversity

A fast nonparametric spatio temporal regression scheme for generalized Pareto distributed heavy precipitation

Modeling maximum daily temperature using a varying coefficient regression model

Parameterization of training images for aquifer 3 D facies modeling integrating geological interpretations and statistical inference

Data driven approach to identify field scale biogeochemical transitions using geochemical and geophysical data and hidden Markov models: Development and application at a uranium contaminated aquifer

Approximate Bayesian Computation using Markov Chain Monte Carlo simulation: DREAM(ABC)

A novel data assimilation methodology for predicting lithology based on sequence labeling algorithms

Does the mid Atlantic United States sea level acceleration hot spot reflect ocean dynamic variability?

Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements

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Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

Skill improvement from increased ensemble size and model diversity

A fast nonparametric spatio temporal regression scheme for generalized Pareto distributed heavy precipitation

Modeling maximum daily temperature using a varying coefficient regression model

Parameterization of training images for aquifer 3 D facies modeling integrating geological interpretations and statistical inference

Data driven approach to identify field scale biogeochemical transitions using geochemical and geophysical data and hidden Markov models: Development and application at a uranium contaminated aquifer

Approximate Bayesian Computation using Markov Chain Monte Carlo simulation: DREAM(ABC)

A novel data assimilation methodology for predicting lithology based on sequence labeling algorithms

Does the mid Atlantic United States sea level acceleration hot spot reflect ocean dynamic variability?

Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO2 measurements